What this category’s data looks like
Data for this category comes primarily from public periodic reports of listed companies on the Shanghai and Shenzhen Stock Exchanges, and monthly operational statistical reports released by industry associations. Annual reports must be disclosed by April 30 of the following year. Quarterly reports must be disclosed within 10 and 30 days after the end of each quarter respectively. Document structures include core financial statements, management’s operational analysis, and explanations of revenue breakdowns by product category. Fields cover values for current period revenue of each category, channel share, and cost structure, all denominated in ten thousand RMB.
What constraints do these characteristics impose on model access and configuration?
Three main constraints and one additional requirement apply to model access and configuration based on this category’s data characteristics. First, disclosure timelines are concentrated in fixed windows. Scheduled task trigger nodes must be configured to align with annual and quarterly report disclosure cycles, to avoid pulling invalid data outside disclosure periods. Second, revenue breakdowns for individual product categories are scattered across different sections of documents. Context segment length must be adjusted to ensure complete capture of full revenue data for a single product category. Third, all fields use ten thousand RMB as the unit. Data cleaning rules must be configured to prevent confusion of field units across documents. Fourth, public document formats vary widely. Parsing parameters for multiple document types must be adapted to ensure complete extraction of structured data.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Revenue descriptions for product categories in consumer building materials financial reports are relatively long, requiring full coverage of complete data for a single product category |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Annual financial reports include multiple financial tables and multiple sections of analysis content, leading to longer parsing times |
ragRecallTopN | Top 8–10 entries | Revenue fields for individual product categories are scattered, requiring recall of a sufficient number of relevant document paragraphs |
UPLOAD_FILE_MAX_SIZE | 500 MB | Annual financial reports include multi-page industry analysis attachments, leading to larger average single-file sizes |
rerankModelThreshold | 0.65–0.75 | Correlation judgment for financial report fields requires a balance between precision and recall coverage |
localRerankModelPath | Calibrated based on actual testing | Deployment paths for local rerank models vary by environment |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require targeted analysis, and it is recommended to test against your own samples before finalizing settings.
Three common configuration errors
- The symptom is a request error after configuring the local rerank model, with
400 Bad Requestreturned in the interface. The cause is that no accessible absolute system path is configured inlocalRerankModelPath, so the service cannot load the model file. - The symptom is an empty model streaming response, while normal replies can be obtained when calling the large model via curl in the terminal. The cause is that the
maxContextparameter is not adjusted to fit the long paragraphs of financial reports, so the model cannot capture valid revenue data, leaving no valid content to generate a reply. - The symptom is a
503 Service Unavailableerror returned by the large model API, with the API key and request URL configured correctly. The cause is that adaptation parameters for model calls were not updated after upgrading to version 9.0, leading to incompatibility with new model interface rules.
How to confirm configuration is complete
- Upload a disclosed consumer building materials financial report document, check if the parsed structured data covers the core product category revenue fields in the report, to confirm that the parsing parameter configuration takes effect.
- Initiate a test call, check if the number of recalled document paragraphs matches the configured recall count, to confirm that the recall rule takes effect.
- Trigger a scheduled data pull task, check if the task execution log pulls data normally within the preset disclosure window, to confirm that the scheduled configuration takes effect.
- Call the configured rerank model, check if the returned content relevance ranking meets expectations, to confirm that the rerank configuration takes effect.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.